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VapeTracker :
VapeTracker : Tracking vapor consumption to help e-cigarette users quit
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- El Ali, Abdallah (author)
- University of Oldenburg, Oldenburg, Germany
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- Matviienko, Andrii (author)
- University of Oldenburg, Oldenburg, Germany
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- Feld, Yannick (author)
- University of Oldenburg, Oldenburg, Germany
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- Heuten, Wilko (author)
- OFFIS Institute for Information Technology, Oldenburg, Germany
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- Boll, Susanne (author)
- University of Oldenburg, Oldenburg, Germany
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(creator_code:org_t)
- 2016-05-07
- 2016
- English.
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In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. - New York, NY, United States : Association for Computing Machinery (ACM). ; , s. 2049-2056
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Despite current controversy over e-cigarettes as a smoking cessation aid, we present early work based on a web survey (N=249) that shows that some e-cigarette users (46.2%) want to quit altogether, and that behavioral feedback that can be tracked can fulfill that purpose. Based on our survey findings, we designed VapeTracker, an early prototype that can attach to any e-cigarette device to track vaping activity. We discuss our future research on vaping cessation, addressing how to improve our VapeTracker prototype, ambient feedback mechanisms, and the future inclusion of behavior change models to support quitting e-cigarettes.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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